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Google Professional-Cloud-Database-Engineer exam is a certification exam offered by Google Cloud. It is designed for professionals who want to demonstrate their expertise in designing, developing, and managing database solutions on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is called Google Cloud Certified - Professional Cloud Database Engineer.

The Google Professional-Cloud-Database-Engineer exam consists of multiple-choice and multiple-select questions that are designed to test the candidate's knowledge of various database technologies and their ability to apply that knowledge to real-world scenarios. Professional-Cloud-Database-Engineer Exam covers topics such as database design, data modeling, database migration, replication, backup and recovery, performance optimization, and security. Candidates are expected to have a deep understanding of SQL and should be familiar with various database management systems such as MySQL, PostgreSQL, and Oracle.

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Google Professional-Cloud-Database-Engineer exam comprises of multiple choice and scenario-based questions, and it requires a thorough understanding of GCP database services. Professional-Cloud-Database-Engineer exam is designed to test the candidate’s ability to design, develop, and administer GCP databases in a real-world scenario. Professional-Cloud-Database-Engineer Exam is conducted online, and the candidates are given a time limit of 2 hours to complete it. The passing score for the exam is 70%, and the certification is valid for two years.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q202-Q207):

NEW QUESTION # 202
You are migrating your critical production database from Amazon RDS for MySQL to Cloud SQL for MySQL by using Google Cloud's Database Migration Service. You want to keep disruption to your production database to a minimum and, at the same time, optimize migration performance.
What should you do-

A. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
B. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.
C. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.
D. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.

Answer: C

Explanation:
By pointing your single Database Migration Service job at an Amazon-RDS read replica and cranking initial-load parallelism to its maximum, you offload heavy full-load reads from production and ingest data faster into Cloud-SQL. This approach minimizes impact on your live primary instance while maximizing throughput during the initial load.

NEW QUESTION # 203
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

A. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
B. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
C. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.
D. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.

Answer: C

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectorshttps://github.com
/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md

NEW QUESTION # 204
Your application uses a Cloud SQL for MySQL instance. Recently, you have noticed performance degradation during peak hours, leading to slow response times and frustrated users. You suspect that inefficient queries might be contributing to these issues. You want to pinpoint and analyze these problematic queries and pass them to the application team for optimizations. What should you do-

A. Increase the Cloud SQL instance read_buffer_sizeflag.
B. Use the underprovisioned instance recommender.
C. Enable and use Query Insights.
D. Create a Cloud Monitoring alert based on the database/mysql/queriesmetric.

Answer: C

Explanation:
Enabling Query Insights on your Cloud SQL for MySQL instance gives you detailed diagnostics on slow and high-impact SQL statements, including execution times, frequency, and wait statistics. You can then export or share these precise query profiles with your application team for targeted optimization.

NEW QUESTION # 205
You are developing a Python application that will connect to AlloyDB for PostgreSQL as the backend datastore. Your organization's security requirements do not allow the use of usernames and passwords for database authentication. How should you develop your application-

A. Use any PostgreSQL-compatible Python client. Use a service account name and credential as the username and password respectively during connection.
B. Use the AlloyDB Python connector. Use automated IAM authentication for connectivity.
C. Use the AlloyDB Python connector. Enforce SSL connectivity to AlloyDB by using the gcloud alloydb instance updatecommand with the --ssl-mode=ENCRYPTED_ONLYoption.
D. Use any PostgreSQL-compatible Python client. Connect to the AlloyDB cluster by using Identity- Aware Proxy (IAP).

Answer: B

Explanation:
The AlloyDB Python connector natively supports IAM-based authentication, letting your application obtain short-lived OAuth tokens instead of using static database passwords. This meets the security requirement and integrates seamlessly with AlloyDB for PostgreSQL without additional credential management.

NEW QUESTION # 206
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

A. roles/cloudsql.editor and roles/spanner.admin
B. roles/cloudsql.client and roles/spanner.databaseReader
C. roles/cloudsql.viewer and roles/spanner.databaseUser
D. roles/cloudsql.instanceUser and roles/spanner.databaseUser

Answer: C

Explanation:
To read data out of Cloud SQL for SQL Server, you need to use a service account with the roles/cloudsql.viewer role on the Cloud SQL instance. This role grants the service account permission to read data from the instance. Whereas roles/cloudsql.instanceUser will only allow to login to cloud SQL instance. No resource will be allowed to view.

NEW QUESTION # 207
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